1. What is Neural Engineering Fall, 2009 Tae-Seong Kim, Ph.D.

2. Neural Engineering • Neural engineering also known as Neuroengineering is a discipline that uses engineering techniques to understand, repair, replace, enhance, or treat the diseases of neural systems. • Neural engineers are uniquely qualified to solve design problems at the interface of living neural tissue and non-living onstructs. [wikipedia.org]

3. Overview • This field of engineering draws on the fields of computational neuroscience, experimental neuroscience, clinical neurology, electrical engineeringand signal processingof living neural tissue, and encompasses elements from robotics, cybernetics, computer engineering, neural tissue engineering, materials science, and nanotechnology. • Prominent goals in the field include restoration and augmentationof human function via direct interactions between the nervous system and artificial devices.

4. Overview • Much current research is focused on understanding the coding and processing of information in the sensoryand motorsystems, quantifying how this processing is altered in the pathologicalstate, and how it can be manipulated through interactions with artificial devices including brain-computer interfacesand neuroprosthetics. • Other research concentrates more on investigation by experimentation, including the use of neural implantsconnected with external technology.

5. History • As neural engineering is a relatively new field, information and research relating to it is comparatively limited, although this is changing rapidly. The first journals specifically devoted to neural engineering, The Journal of Neural Engineeringand The Journal of NeuroEngineering and Rehabilitationboth emerged in 2004. International conferences on neural engineering have been held by the IEEE since 2003, most recently from 29 April until 2 May 2009 in Antalya, Turkey 4th Conference on Neural Engineering.

7. Neurons

8. What We Measure in the Brain? Or What Do We Need? Dictionary

9. Neural Spikes

10. Models of Neurons (Segev and Burke, 1999)

11. Conductance-based Silicon Neurons(Mahowald et al, Nature, 1991)

12. TMS

13. Deep Brain Stimulation

14. Bionic Neurons (BIONs) (ami.usc.edu)

15. Neural Electrodes

16. Bionic Eyes (http://www.2-sight.com/)

17. Bionic Ear (Cochlear Implant)

18. Hippocampus VLSI Chips

19. Ubiquitous Man ?

20. Brain-Machine Interface

21. Brain-Machine Interface

23. Robot controlled by human thought alone (2009.03.31)

24. Brain-Machine Interface

25. Brain-Machine Interface

26. State-of-the-art Dog Language Decoder

27. Brain Engineering: Past and Future

29. IEEE-Engineering in Medicine and Biology Society Johns Hopkins Limb Prosthesis Research: Brain Machine Interface (BMI) Technology: AIMBE and IEEE Fellow, Prof. Nitish Thakor, Ph.D. Future Neural Prosthetics Amputee Brain Machine Interface Ottobock

30. American Society for Mechanical Engineers • Mechanical Engineers and members of the American Society of Mechanical Engineers are involved in many aspects of prosthesis and orthosis design, development and testing including: • Materials and manufacturing methods • Robotic-assist prosthesis and orthoses • Development of sensory feedback technology for improvement of prosthesis performance • Computational modeling of human movement and prosthesis mechanics • Motion analysis in the assessment of human movement and prosthesis function

31. American Society for Mechanical Engineers • Kathryn DeLaurentis, U.South Florida - A powered flexion/extension and rotation prosthetic wrist. • Hugh Herr, MIT - Using biomechanics and biological movement control science to design human rehabilitation and augmentation technology including a powered leg prosthesis.